Data Engineer

Pixelogic; Cape Town; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Pixelogic in Cape Town seeks a Finance Database Engineer to design, build, and maintain scalable data solutions supporting financial reporting and operational decision‑making. This hands‑on role grants significant ownership across data pipelines, modeling, and BI delivery for finance stakeholders.

You will work with Azure, Fabric, SQL, and Power BI to ensure data accuracy, governance, and timely insights, collaborating with finance and IT teams across time zones.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 3+ years of data/analytics engineering experience with financial data.
• Experience with Azure and Fabric (Lakehouse, Data Warehouse, Data Factory).
• Strong SQL, Power BI, ETL/ELT, and data quality expertise.

Responsibilities

• Design, build, and maintain data pipelines and applications using Azure and Fabric.
• Develop and optimize SQL data models for financial reporting and analysis.
• Build and maintain Power BI dashboards for business stakeholders.
• Ensure data accuracy and integrity through validation and reconciliation.
• Own end-to-end data workflows from ingestion to reporting.
• Collaborate with finance and operations to translate business needs into scalable data solutions.
• Identify opportunities to improve data processes, automation, and performance.
• Work with IT to ensure data security, governance, and compliance.

Skills

SQL

Data modeling

ETL/ELT

Data warehousing

DAX

Stakeholder comms

Analytical thinking

Automation

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

Azure

Microsoft Fabric

Power BI

Git/Azure DevOps

Python

Job description

Data Engineer Pixelogic•Cape Town, Western Cape, South Africa

We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.

This is a hands‑on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.

Primary Responsibilities:

• Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric
• Develop and optimize SQL data models to support financial reporting and analysis
• Build and maintain Power BI dashboards and reporting solutions for business stakeholders
• Ensure data accuracy and integrity through validation, reconciliation, and issue investigation
• Own end-to-end data workflows, from ingestion through transformation and reporting
• Collaborate with finance and operations teams to translate business needs into scalable data solutions
• Identify opportunities to improve data processes, automation, and system performance
• Work closely with IT teams to ensure security, governance, and compliance of financial data.
• Optimize SQL queries and improve report performance.

Requirements

• Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field.
• 3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information

Technical Requirements

• Experience with Microsoft Azure.
• Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
• Experience with Power Query, DAX, and SQL with large, complex datasets.
• Familiarity with Git and/or Azure DevOps for version control.
• Knowledge of Python for data processing and automation (preferred).
• Experience integrating data through APIs or external data sources.
• Understanding of data warehousing concepts and dimensional modeling.
• Ability to work in mixed time zones with various teams including Pacific Standard (USA)
• Experience building reports and data models in Power BI
• Strong understanding of ETL/ELT pipelines and data validation processes
• Experience working with financial or operational data is a strong plus
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to non-technical stakeholders.
• Excellent stakeholder management and collaboration skills.
• Strong organizational and time management skills.
• Continuous improvement mindset with a proactive approach to automation and process optimization.